A0222
Title: Statistical brain network analysis: Recent developments and future directions
Authors: Sean Simpson - Wake Forest University School of Medicine (United States) [presenting]
Abstract: The recent fusion of network science and neuroscience has catalyzed a paradigm shift in how the brain is studied, leading to the field of brain network analysis. Brain network analyses hold great potential in helping to understand normal and abnormal brain function by providing profound clinical insight into links between system-level properties and health and behavioral outcomes. Nonetheless, many statistical challenges remain to be able to fully realize the promise of this field. The purpose is to address a few of these challenges, briefly survey three complementary statistical frameworks developed to address a subset of these needs a mixed modeling framework, a distance regression framework, and a hidden semi-Markov modeling framework and discuss potential future avenues of research.
